Abstract
Numerous landslides have occurred in the study area and they damage to agriculture and pasturelands. Since the study area do not have any landslide inventory and landslide predicted maps, landslide inventory produced based on field research (GPS) and satellite image (Geoeye and Ikonos). Frequency ratio technique is a statistical approach to simulation environmental conditions. It also uses to take the factors related to dependent variable. Frequency technique considered for generating landslide susceptibility map. Pixel landsliding and non-landsliding calculated in eight factors related-landslide. Landslide susceptibility map produce in five insensitive to very high sensitive classes based on natural breaks method. Receiver Operating Characteristics (ROC) graph implement to evaluate of the frequency ratio method. In particular, the model will be able to predict landslide area occurrence in future completely (sensitivity = 1). Although, model identify insensitive area with 17% errors (specificity = 0.83).
Highlights
Landslide is the world’s third largest natural disaster that causes many damages (Zillman, 2000)
Most of the landslides in the area are more than 3000 m2, so we identify them because aerial photograph stereoscopic with 1:20000 scale can accelerate for landslide finding in the study area
The only way to demonstrate the real accuracy of the landslide evaluation maps when new landslides occur after the generation of landslide susceptibility
Summary
Landslide is the world’s third largest natural disaster that causes many damages (Zillman, 2000). Human casualties and settlement damages as well as the infrastructure problems caused by landslide are increasing worldwide. The Study area in this research is west of Iranan area of 250 km in the Kermanshah province in Iran. This area is quite susceptible to landslide due to its climatic conditions, geology, geomorphologic characteristics and human activities. Many villages and farms are located on unstable ground and if landslide susceptibility map is prepared, it can help to displace some buildings in hazardous area. Landslide hazard evaluation is based on the analysis of the ground conditions in those regions where a previous landslide occurred (Carrara et al, 1999). Landslide zonation mapping methods can be divided into the following categories: quantitative or statistical (Guzzetti et al, 1999; Rautela and Lakhera, 2000; Lineback et al, 2001; Cevik and Topal, 2003; Gorsevski et al, 2003; Lee, 2004; Tangestani, 2004; Sakellariou and Ferentinou, 2005; Ayalew and Yamagishi, 2005), deterministic methods (Gökceoglu and Aksoy, 1996) and qualitative or knowledge-based (Ives and Messerli, 1981; Rupke and Veilleux, 2011; Regmi et al, 2010)
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